Eva Reischl

4.6k total citations
21 papers, 658 citations indexed

About

Eva Reischl is a scholar working on Molecular Biology, Nutrition and Dietetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Eva Reischl has authored 21 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Nutrition and Dietetics and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Eva Reischl's work include Birth, Development, and Health (7 papers), Fatty Acid Research and Health (7 papers) and Epigenetics and DNA Methylation (6 papers). Eva Reischl is often cited by papers focused on Birth, Development, and Health (7 papers), Fatty Acid Research and Health (7 papers) and Epigenetics and DNA Methylation (6 papers). Eva Reischl collaborates with scholars based in Germany, Spain and Australia. Eva Reischl's co-authors include Berthold Koletzko, Mélanie Waldenberger, Hans Demmelmair, Annette Peters, Christian Gieger, Simone Wahl, Rory Wilson, Peter Rzehak, S. J. Meldrum and Karen Simmer and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Diabetes.

In The Last Decade

Eva Reischl

20 papers receiving 649 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Reischl Germany 13 330 174 135 113 84 21 658
Jill A. McKay United Kingdom 17 557 1.7× 455 2.6× 205 1.5× 155 1.4× 125 1.5× 36 1.1k
Sophia Harlid Sweden 18 530 1.6× 193 1.1× 34 0.3× 108 1.0× 73 0.9× 37 950
Safarina G. Malik Indonesia 15 278 0.8× 167 1.0× 76 0.6× 94 0.8× 14 0.2× 66 742
Horacio Gómez-Acevedo United States 16 219 0.7× 454 2.6× 90 0.7× 253 2.2× 32 0.4× 32 1.0k
Jacek Szamatowicz Poland 25 163 0.5× 263 1.5× 71 0.5× 141 1.2× 39 0.5× 63 1.4k
Céline Tiffon France 8 276 0.8× 52 0.3× 57 0.4× 64 0.6× 34 0.4× 12 540
Neel Parekh United States 11 309 0.9× 116 0.7× 82 0.6× 41 0.4× 62 0.7× 39 1.3k
Severence M. MacLaughlin Australia 17 187 0.6× 732 4.2× 102 0.8× 200 1.8× 43 0.5× 27 972
Thomas Chambers United Kingdom 9 167 0.5× 178 1.0× 37 0.3× 71 0.6× 62 0.7× 17 624
Nicole K. MacLennan United States 12 339 1.0× 492 2.8× 188 1.4× 126 1.1× 18 0.2× 13 828

Countries citing papers authored by Eva Reischl

Since Specialization
Citations

This map shows the geographic impact of Eva Reischl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eva Reischl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Reischl more than expected).

Fields of papers citing papers by Eva Reischl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Reischl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eva Reischl. The network helps show where Eva Reischl may publish in the future.

Co-authorship network of co-authors of Eva Reischl

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Reischl. A scholar is included among the top collaborators of Eva Reischl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Reischl. Eva Reischl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Campoy, Cristina, Francisco J. Torres-Espínola, José Antonio García-Santos, et al.. (2020). Long-Chain Polyunsaturated Fatty Acids, Homocysteine at Birth and Fatty Acid Desaturase Gene Cluster Polymorphisms Are Associated with Children’s Processing Speed up to Age 9 Years. Nutrients. 13(1). 131–131. 7 indexed citations
2.
Matías‐García, Pamela R., Rory Wilson, Veronika Mussack, et al.. (2020). Impact of long-term storage and freeze-thawing on eight circulating microRNAs in plasma samples. PLoS ONE. 15(1). e0227648–e0227648. 62 indexed citations
3.
García-Santos, José Antonio, Hans Demmelmair, Signe Altmäe, et al.. (2019). Early nutrition in combination with polymorphisms in fatty acid desaturase gene cluster modulate fatty acid composition of cheek cells’ glycerophospholipids in school-age children. British Journal Of Nutrition. 122(s1). S68–S79. 5 indexed citations
4.
Stückler, Ferdinand, Michael Salomon, Regina Ensenauer, et al.. (2019). Dynamic modelling of an ACADS genotype in fatty acid oxidation – Application of cellular models for the analysis of common genetic variants. PLoS ONE. 14(5). e0216110–e0216110.
5.
Pfister, Eva‐Doreen, Ulrich Baumann, Thomas Illig, et al.. (2019). MTF1 binds to metal‐responsive element e within the ATP7B promoter and is a strong candidate in regulating the ATP7B expression. Annals of Human Genetics. 84(2). 195–200. 16 indexed citations
6.
Rzehak, Peter, Herawati Sudoyo, Muchtaruddin Mansyur, et al.. (2018). The association of fatty acid desaturase gene polymorphisms on long-chain polyunsaturated fatty acid composition in Indonesian infants. American Journal of Clinical Nutrition. 108(5). 1135–1144. 8 indexed citations
7.
Demmelmair, Hans, Anita MacDonald, Urania Kotzaeridou, et al.. (2018). Determinants of Plasma Docosahexaenoic Acid Levels and Their Relationship to Neurological and Cognitive Functions in PKU Patients: A Double Blind Randomized Supplementation Study. Nutrients. 10(12). 1944–1944. 12 indexed citations
8.
Meldrum, S. J., Yuchun Li, Guicheng Zhang, et al.. (2017). Can polymorphisms in the fatty acid desaturase (FADS) gene cluster alter the effects of fish oil supplementation on plasma and erythrocyte fatty acid profiles? An exploratory study. European Journal of Nutrition. 57(7). 2583–2594. 22 indexed citations
9.
Wilson, Rory, Simone Wahl, Liliane Pfeiffer, et al.. (2017). The dynamics of smoking-related disturbed methylation: a two time-point study of methylation change in smokers, non-smokers and former smokers. BMC Genomics. 18(1). 805–805. 58 indexed citations
10.
Rzehak, Peter, Marcela Covic, Richard Saffery, et al.. (2017). DNA-Methylation and Body Composition in Preschool Children: Epigenome-Wide-Analysis in the European Childhood Obesity Project (CHOP)-Study. Scientific Reports. 7(1). 14349–14349. 56 indexed citations
11.
Rzehak, Peter, Muchtaruddin Mansyur, Zakiudin Munasir, et al.. (2017). Study protocol to investigate the environmental and genetic aetiology of atopic dermatitis: the Indonesian Prospective Study of Atopic Dermatitis in Infants (ISADI). BMJ Open. 7(3). e012475–e012475. 8 indexed citations
12.
Pawellek, Ingrid, Veit Grote, Peter Rzehak, et al.. (2016). Association of TAS2R38 variants with sweet food intake in children aged 1–6 years. Appetite. 107. 126–134. 20 indexed citations
13.
Rzehak, Peter, Richard Saffery, Eva Reischl, et al.. (2016). Maternal Smoking during Pregnancy and DNA-Methylation in Children at Age 5.5 Years: Epigenome-Wide-Analysis in the European Childhood Obesity Project (CHOP)-Study. PLoS ONE. 11(5). e0155554–e0155554. 66 indexed citations
14.
Manz, Judith, Elke Rodríguez, Abdou ElSharawy, et al.. (2016). Targeted Resequencing and Functional Testing Identifies Low-Frequency Missense Variants in the Gene Encoding GARP as Significant Contributors to Atopic Dermatitis Risk. Journal of Investigative Dermatology. 136(12). 2380–2386. 29 indexed citations
15.
Flaquer, Antònia, Susanne Rospleszcz, Eva Reischl, et al.. (2015). Mitochondrial GWA Analysis of Lipid Profile Identifies Genetic Variants to Be Associated with HDL Cholesterol and Triglyceride Levels. PLoS ONE. 10(5). e0126294–e0126294. 13 indexed citations
16.
Abrahamowicz, Michał, Gabriel Leonard, Louis Richer, et al.. (2015). Prenatal exposure to cigarette smoke interacts with OPRM1 to modulate dietary preference for fat. Journal of Psychiatry and Neuroscience. 40(1). 38–45. 16 indexed citations
17.
Libuda, Lars, Hans Demmelmair, Berthold Koletzko, et al.. (2015). Fatty acid supply with complementary foods and LC-PUFA status in healthy infants: results of a randomised controlled trial. European Journal of Nutrition. 55(4). 1633–1644. 17 indexed citations
18.
Shin, Jean, Céline Bourdon, Manon Bernard, et al.. (2015). Layered genetic control of DNA methylation and gene expression: a locus of multiple sclerosis in healthy individuals. Human Molecular Genetics. 24(20). 5733–5745. 9 indexed citations
19.
Kruse, Michael, Farnaz Keyhani‐Nejad, Frank Isken, et al.. (2015). High-Fat Diet During Mouse Pregnancy and Lactation Targets GIP-Regulated Metabolic Pathways in Adult Male Offspring. Diabetes. 65(3). 574–584. 11 indexed citations
20.
Richmond, Rebecca C., Pingzhao Hu, Leon French, et al.. (2014). Prenatal Exposure to Maternal Cigarette Smoking and DNA Methylation: Epigenome-Wide Association in a Discovery Sample of Adolescents and Replication in an Independent Cohort at Birth through 17 Years of Age. Environmental Health Perspectives. 123(2). 193–199. 133 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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